Software for developing quantum computing programs

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for qiskit from gravatar.com qiskit

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Apache Software License (Apache 2.0)

Author: Qiskit Development Team

Tags qiskit, sdk, quantum

Requires: Python >=3.7

Classifiers

Project description

Qiskit Terra

License

Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.

This library is the core component of Qiskit, Terra, which contains the building blocks for creating and working with quantum circuits, programs, and algorithms. It also contains a compiler that supports different quantum computers and a common interface for running programs on different quantum computer architectures.

For more details on how to use Qiskit you can refer to the documentation located here:

https://qiskit.org/documentation/

Installation

We encourage installing Qiskit via pip. The following command installs the core Qiskit components, including Terra.

pip install qiskit

Pip will handle all dependencies automatically and you will always install the latest (and well-tested) version.

To install from source, follow the instructions in the documentation.

Creating Your First Quantum Program in Qiskit Terra

Now that Qiskit is installed, it's time to begin working with Qiskit. To do this we create a QuantumCircuit object to define a basic quantum program.

from qiskit import QuantumCircuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0,1], [0,1])

This simple example makes an entangled state, also called a Bell state.

Once you've made your first quantum circuit, you can then simulate it. To do this, first we need to compile your circuit for the target backend we're going to run on. In this case we are leveraging the built-in BasicAer simulator. However, this simulator is primarily for testing and is limited in performance and functionality (as the name implies). You should consider more sophisticated simulators, such as qiskit-aer, for any real simulation work.

from qiskit import transpile
from qiskit.providers.basicaer import QasmSimulatorPy
backend_sim = QasmSimulatorPy()
transpiled_qc = transpile(qc, backend_sim)

After compiling the circuit we can then run this on the backend object with:

result = backend_sim.run(transpiled_qc).result()
print(result.get_counts(qc))

The output from this execution will look similar to this:

{'00': 513, '11': 511}

For further examples of using Qiskit you can look at the example scripts in examples/python. You can start with using_qiskit_terra_level_0.py and working up in the levels. Also you can refer to the tutorials in the documentation here:

https://qiskit.org/documentation/tutorials.html

Executing your code on a real quantum chip

You can also use Qiskit to execute your code on a real quantum processor. Qiskit provides an abstraction layer that lets users run quantum circuits on hardware from any vendor that provides an interface to their systems through Qiskit. Using these providers you can run any Qiskit code against real quantum computers. Some examples of published provider packages for running on real hardware are:

You can refer to the documentation of these packages for further instructions on how to get access and use these systems.

Contribution Guidelines

If you'd like to contribute to Qiskit Terra, please take a look at our contribution guidelines. This project adheres to Qiskit's code of conduct. By participating, you are expected to uphold this code.

We use GitHub issues for tracking requests and bugs. Please join the Qiskit Slack community and use our Qiskit Slack channel for discussion and simple questions. For questions that are more suited for a forum we use the qiskit tag in the Stack Exchange.

Next Steps

Now you're set up and ready to check out some of the other examples from our Qiskit Tutorials repository.

Authors and Citation

Qiskit Terra is the work of many people who contribute to the project at different levels. If you use Qiskit, please cite as per the included BibTeX file.

Changelog and Release Notes

The changelog for a particular release is dynamically generated and gets written to the release page on Github for each release. For example, you can find the page for the 0.9.0 release here:

https://github.com/Qiskit/qiskit-terra/releases/tag/0.9.0

The changelog for the current release can be found in the releases tab: Releases The changelog provides a quick overview of notable changes for a given release.

Additionally, as part of each release detailed release notes are written to document in detail what has changed as part of a release. This includes any documentation on potential breaking changes on upgrade and new features. For example, you can find the release notes for the 0.9.0 release in the Qiskit documentation here:

https://qiskit.org/documentation/release_notes.html#terra-0-9

License

Apache License 2.0

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for qiskit from gravatar.com qiskit

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Apache Software License (Apache 2.0)

Author: Qiskit Development Team

Tags qiskit, sdk, quantum

Requires: Python >=3.7

Classifiers

Release history Release notifications | RSS feed

0.46.1

0.46.0

0.45.3

0.45.2

0.45.1

0.45.0

0.45.0rc1 pre-release

0.25.3

0.25.2.1

0.25.2

0.25.1

0.25.0

0.25.0rc1 pre-release

0.24.2

0.24.1

0.24.0

0.24.0rc1 pre-release

0.23.3

0.23.2

0.23.1

0.23.0

0.23.0rc1 pre-release

0.22.4

This version

0.22.3

0.22.2

0.22.1

0.22.0

0.22.0rc1 pre-release

0.21.2

0.21.1

0.21.0

0.21.0rc1 pre-release

0.20.2

0.20.1

0.20.0

0.19.2

0.19.1

0.19.0

0.18.3

0.18.2

0.18.1

0.18.0

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.2

0.14.1

0.14.0

0.13.0

0.12.0

0.11.1

0.11.0

0.10.0

0.9.1

0.9.0

0.8.2

0.8.1

0.8.0

0.7.2

0.7.1

0.7.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qiskit-terra-0.22.3.tar.gz (4.6 MB view hashes)

Uploaded Source

Built Distributions

qiskit_terra-0.22.3-cp311-cp311-win_amd64.whl (4.3 MB view hashes)

Uploaded CPython 3.11 Windows x86-64

qiskit_terra-0.22.3-cp311-cp311-win32.whl (4.3 MB view hashes)

Uploaded CPython 3.11 Windows x86

qiskit_terra-0.22.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

qiskit_terra-0.22.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.0 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

qiskit_terra-0.22.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.8 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

qiskit_terra-0.22.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

qiskit_terra-0.22.3-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (4.8 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

qiskit_terra-0.22.3-cp311-cp311-macosx_11_0_arm64.whl (4.4 MB view hashes)

Uploaded CPython 3.11 macOS 11.0+ ARM64

qiskit_terra-0.22.3-cp311-cp311-macosx_10_9_x86_64.whl (4.4 MB view hashes)

Uploaded CPython 3.11 macOS 10.9+ x86-64

qiskit_terra-0.22.3-cp311-cp311-macosx_10_9_universal2.whl (4.8 MB view hashes)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

qiskit_terra-0.22.3-cp310-cp310-win_amd64.whl (4.3 MB view hashes)

Uploaded CPython 3.10 Windows x86-64

qiskit_terra-0.22.3-cp310-cp310-win32.whl (4.3 MB view hashes)

Uploaded CPython 3.10 Windows x86

qiskit_terra-0.22.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

qiskit_terra-0.22.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.0 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

qiskit_terra-0.22.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.8 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

qiskit_terra-0.22.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

qiskit_terra-0.22.3-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (4.8 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

qiskit_terra-0.22.3-cp310-cp310-macosx_11_0_arm64.whl (4.4 MB view hashes)

Uploaded CPython 3.10 macOS 11.0+ ARM64

qiskit_terra-0.22.3-cp310-cp310-macosx_10_9_x86_64.whl (4.4 MB view hashes)

Uploaded CPython 3.10 macOS 10.9+ x86-64

qiskit_terra-0.22.3-cp310-cp310-macosx_10_9_universal2.whl (4.8 MB view hashes)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

qiskit_terra-0.22.3-cp39-cp39-win_amd64.whl (4.3 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

qiskit_terra-0.22.3-cp39-cp39-win32.whl (4.3 MB view hashes)

Uploaded CPython 3.9 Windows x86

qiskit_terra-0.22.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

qiskit_terra-0.22.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.0 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

qiskit_terra-0.22.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.8 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

qiskit_terra-0.22.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

qiskit_terra-0.22.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (4.8 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

qiskit_terra-0.22.3-cp39-cp39-macosx_11_0_arm64.whl (4.4 MB view hashes)

Uploaded CPython 3.9 macOS 11.0+ ARM64

qiskit_terra-0.22.3-cp39-cp39-macosx_10_9_x86_64.whl (4.4 MB view hashes)

Uploaded CPython 3.9 macOS 10.9+ x86-64

qiskit_terra-0.22.3-cp39-cp39-macosx_10_9_universal2.whl (4.8 MB view hashes)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

qiskit_terra-0.22.3-cp38-cp38-win_amd64.whl (4.3 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

qiskit_terra-0.22.3-cp38-cp38-win32.whl (4.3 MB view hashes)

Uploaded CPython 3.8 Windows x86

qiskit_terra-0.22.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

qiskit_terra-0.22.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.0 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

qiskit_terra-0.22.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.8 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

qiskit_terra-0.22.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

qiskit_terra-0.22.3-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (4.8 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

qiskit_terra-0.22.3-cp38-cp38-macosx_11_0_arm64.whl (4.4 MB view hashes)

Uploaded CPython 3.8 macOS 11.0+ ARM64

qiskit_terra-0.22.3-cp38-cp38-macosx_10_9_x86_64.whl (4.4 MB view hashes)

Uploaded CPython 3.8 macOS 10.9+ x86-64

qiskit_terra-0.22.3-cp38-cp38-macosx_10_9_universal2.whl (4.8 MB view hashes)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

qiskit_terra-0.22.3-cp37-cp37m-win_amd64.whl (4.3 MB view hashes)

Uploaded CPython 3.7m Windows x86-64

qiskit_terra-0.22.3-cp37-cp37m-win32.whl (4.3 MB view hashes)

Uploaded CPython 3.7m Windows x86

qiskit_terra-0.22.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

qiskit_terra-0.22.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (5.0 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

qiskit_terra-0.22.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (4.8 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

qiskit_terra-0.22.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

qiskit_terra-0.22.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl (4.8 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.12+ i686 manylinux: glibc 2.17+ i686

qiskit_terra-0.22.3-cp37-cp37m-macosx_10_9_x86_64.whl (4.4 MB view hashes)

Uploaded CPython 3.7m macOS 10.9+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page